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Details of Grant 

EPSRC Reference: GR/R92455/01
Title: Sequential adaptive designs for multi-treatment clinical trials with prognostic factors
Principal Investigator: Coad, Dr D
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Sch of Mathematical & Physical Sciences
Organisation: University of Sussex
Scheme: Standard Research (Pre-FEC)
Starts: 29 April 2002 Ends: 28 July 2002 Value (£): 2,409
EPSRC Research Topic Classifications:
Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:
Healthcare No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
The project consists of two parts: Adaptive designs for comparing K>2 treatments with prognostic factors and Sequential adaptive designs for comparing K>2 treatments . In the first part of the project, an adaptive design which incorporates covariate information will be developed for comparing K>2 treatments with continuous responses. The aim is to extend the two-treatment fixed-sample design of Bandyopadhyay & Biswas (2001, Biometrika, 88, 409-419). In the second part of the project, an elimination procedure will be incorporated in the above multi-treatment design, so that less promising treatments may be dropped during the course of the trial. This work will show that the combination of the sequential and adaptive approaches can yield an effective design in terms of reducing the numbers of patients on inferior treatments, as has been shown in the two-treatment case by Coad & Rosenberger (1999, Statist. Med., 18, 761769). Designs of the type being studied are of direct relevance to pharmaceutical experimentation.
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Organisation Website: http://www.sussex.ac.uk